374370

Prediction and Risk Stratification of Acute Kidney Injury in Neonates Using STARZ Scoring Model

Article

Last updated: 15 Feb 2025

Subjects

-

Tags

Neonatal Genitourinary

Abstract

Background: Neonates admitted to NICU are vulnerable to acute kidney injury which can lead to worse outcomes. STARZ score is an AKI specific risk stratification score that can be used to predict the risk of AKI at any time within 7 days post admission in the NICU.
Materials and methods: A prospective observational study conducted from January to March 2024 in NICU at a tertiary care center. STARZ score was applied to neonates fulfilling the inclusion criteria during any time post 12 hours admission and the risk of AKI was predicted. Some variables were recorded at the time of admission and some after 12 hours. Each variable was assigned a score and a cut off >31.5 was proportional to the probability of AKI within 7 days of admission. High risk neonates were then vigilantly monitored during the course of hospitalization.
Results: Out of 127 neonates included, 33 neonates had AKI during the hospital stay. 88(69.3%) of the neonates were identified as at-risk neonates for developing AKI. The neonates with higher probability score were monitored and 33 had AKI of varied stages. In the AKI group, 21(63.6%) had mortality and 12(36.3%) were discharged for home. Maximum mortality was seen in stage 3 AKI.
Conclusion: STARZ score was simple and easy to predict the risk of AKI in neonates during anytime post 12 hours admission in NICU. 26% of the neonates had AKI of varied stages according to KDIGO classification with maximum mortality seen with stage 3 AKI.

DOI

10.21608/anj.2024.302943.1096

Keywords

AKI, STARZ score, NICU, KDIGO

Authors

First Name

Ekamjot

Last Name

Kaur

MiddleName

-

Affiliation

Pediatrics, Junior Resident, Sri Guru Ram Das University of Health Sciences, Amritsar, India

Email

ekamjotkaurfdk@gmail.com

City

amritsar

Orcid

-

First Name

Preeti

Last Name

Malhotra

MiddleName

-

Affiliation

Pediatrics, Professor, Sri Guru Ram Das University Of Health Sciences, Amritsar, India

Email

drpreetimalhotra@yahoo.com

City

Amritsar

Orcid

-

First Name

Naresh

Last Name

Kumar

MiddleName

-

Affiliation

Pediatrics, Associate Professor, Sri Guru Ram Das University of Health Sciences, Amritsar, India

Email

nksharma1310@gmail.com

City

Amritsar

Orcid

-

Volume

7

Article Issue

1

Related Issue

53680

Issue Date

2025-01-01

Receive Date

2024-06-04

Publish Date

2025-01-01

Page Start

27

Page End

44

Online ISSN

2636-3569

Link

https://anj.journals.ekb.eg/article_374370.html

Detail API

http://journals.ekb.eg?_action=service&article_code=374370

Order

2

Type

Original Article

Type Code

959

Publication Type

Journal

Publication Title

Annals of Neonatology

Publication Link

https://anj.journals.ekb.eg/

MainTitle

Prediction and Risk Stratification of Acute Kidney Injury in Neonates Using STARZ Scoring Model

Details

Type

Article

Created At

08 Feb 2025